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Astro by Astronomer
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At a Glance
Market Segments
Mid-Market (48.1% of reviews)
Enterprise (46.5% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Astro by Astronomer
Star Rating
(136)4.5 out of 5
Market Segments
Mid-Market (48.1% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about Astro by AstronomerDatabricks Data Intelligence Platform
Star Rating
(627)4.6 out of 5
Market Segments
Enterprise (46.5% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Databricks Data Intelligence PlatformSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Databricks Data Intelligence Platform excels in data integration, scoring 9.0, which reviewers mention is due to its seamless connectivity with various data sources, making it easier to consolidate and analyze data. In contrast, Astro by Astronomer scores 8.5, with users noting some limitations in integration capabilities.
- Reviewers mention that Databricks shines in automated workflows, achieving a score of 9.1. Users appreciate features like Delta Lake and MLflow for streamlining data processes. Astro by Astronomer, with a score of 8.6, offers automation but lacks the same level of advanced features, according to user feedback.
- Users on G2 highlight the AI text generation capabilities of Databricks, scoring 8.9, as a standout feature that enhances data-driven insights. In contrast, Astro by Astronomer scores only 6.7, with reviewers expressing disappointment in its AI functionalities.
- Reviewers mention that Databricks provides superior analytics capabilities with a score of 8.8, thanks to its robust machine learning tools and visualization options. Astro by Astronomer, scoring 7.5, is seen as less comprehensive in this area, with users noting a need for more advanced analytics features.
- Users report that Databricks offers excellent cloud migration capabilities, scoring 9.0, which is praised for its flexibility and ease of transition. Astro by Astronomer, with a score of 8.4, is noted for being effective but not as versatile in migration options, according to user reviews.
- G2 users highlight the quality of support from Databricks, scoring 8.7, with many reviewers appreciating the responsiveness and expertise of the support team. Astro by Astronomer, scoring 8.9, also receives positive feedback, but some users mention that the support can be slower during peak times.
Pricing
Entry-Level Pricing
Astro by Astronomer
No pricing availableDatabricks Data Intelligence Platform
No pricing availableFree Trial
Astro by Astronomer
Free Trial is available
Databricks Data Intelligence Platform
Free Trial is available
Ratings
Meets Requirements
8.9
106
8.9
512
Ease of Use
9.0
109
8.8
521
Ease of Setup
8.7
73
8.6
394
Ease of Admin
8.8
57
8.3
169
Quality of Support
8.9
98
8.7
487
Has the product been a good partner in doing business?
9.0
57
8.8
172
Product Direction (% positive)
9.0
103
9.6
500
Features by Category
Reports
Not enough data
7.5
6
Not enough data
7.5
6
Not enough data
7.8
6
Not enough data
7.7
5
Not enough data
8.0
5
Data Preparation
Not enough data
Not enough data
Not enough data
Not enough data
Data Modeling and Blending
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Self Service
Not enough data
7.5
6
Not enough data
7.2
6
Not enough data
8.3
6
Not enough data
8.1
6
Not enough data
7.5
6
Not enough data
7.3
5
Deployment & Integration - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Analytics
Not enough data
8.1
6
Not enough data
8.0
5
Not enough data
8.3
5
Performance & Scalability - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI Capabilities - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Personalized Intelligence - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Building Reports
Not enough data
8.9
136
Not enough data
8.5
136
Not enough data
7.6
121
Not enough data
8.3
135
Automation
9.0
70
Not enough data
8.9
70
Not enough data
7.9
54
Not enough data
Administration
8.4
66
Not enough data
8.8
67
Not enough data
8.2
64
Not enough data
8.1
60
Not enough data
8.2
64
Not enough data
8.5
62
Not enough data
Functionality
9.0
66
Not enough data
8.5
65
Not enough data
8.5
65
Not enough data
Agentic AI - Workload Automation
7.3
17
Not enough data
7.5
17
Not enough data
7.7
17
Not enough data
7.6
17
Not enough data
6.9
17
Not enough data
6.9
17
Not enough data
6.9
17
Not enough data
Administration
Not enough data
8.8
92
Not enough data
8.6
89
Not enough data
9.0
90
Not enough data
8.6
91
Management
Not enough data
8.5
84
Not enough data
8.7
83
Not enough data
8.6
83
Not enough data
8.5
82
Not enough data
8.7
82
Compliance
Not enough data
8.8
90
Not enough data
8.7
89
Not enough data
8.9
88
Not enough data
8.7
88
Security
Not enough data
9.0
80
Not enough data
8.9
82
Not enough data
8.9
82
Data Quality
Not enough data
9.0
90
Not enough data
8.7
89
Not enough data
9.0
87
Maintainence
Not enough data
8.8
81
Not enough data
8.8
80
Generative AI
Not enough data
8.4
79
Not enough data
8.5
78
Agentic AI - Data Governance
Not enough data
8.8
8
Not enough data
9.0
8
Not enough data
9.2
8
Not enough data
8.3
8
Not enough data
9.0
8
Not enough data
9.0
8
Management
Not enough data
8.6
167
Not enough data
8.5
161
Functionality
Not enough data
9.1
168
Not enough data
9.2
169
Not enough data
9.1
170
Not enough data
9.0
162
Not enough data
9.1
164
Deployment
Not enough data
8.9
63
Not enough data
8.9
64
Not enough data
8.9
64
Not enough data
8.9
64
Not enough data
8.9
64
Deployment
Not enough data
8.9
61
Not enough data
8.8
62
Not enough data
8.6
65
Not enough data
8.9
64
Not enough data
9.0
64
Management
Not enough data
8.9
61
Not enough data
8.8
63
Not enough data
9.1
59
Not enough data
8.9
67
Operations
Not enough data
8.7
61
Not enough data
8.8
60
Not enough data
9.0
61
Management
Not enough data
8.8
60
Not enough data
8.7
59
Not enough data
9.1
58
Generative AI
Not enough data
8.3
27
Not enough data
8.3
27
System
Not enough data
8.8
175
Model Development
Not enough data
8.8
179
Not enough data
7.9
185
Not enough data
8.3
182
Not enough data
8.6
184
Model Development
Not enough data
8.5
171
Machine/Deep Learning Services
Not enough data
8.1
171
Not enough data
8.5
176
Not enough data
8.2
168
Not enough data
8.1
170
Machine/Deep Learning Services
Not enough data
8.4
156
Not enough data
8.4
158
Deployment
Not enough data
8.5
174
Not enough data
8.7
177
Not enough data
9.0
181
Generative AI
Not enough data
8.2
86
Not enough data
8.4
86
Not enough data
7.6
85
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
9.2
6
Not enough data
8.6
6
Not enough data
8.6
6
Not enough data
8.9
6
Not enough data
9.2
6
Not enough data
9.2
6
Not enough data
9.2
6
Data Management
8.5
17
Not enough data
7.5
14
Not enough data
8.1
16
Not enough data
7.6
15
Not enough data
Analytics
7.3
15
Not enough data
Security
7.7
14
Not enough data
8.0
14
Not enough data
8.0
14
Not enough data
Generative AI
5.0
11
Not enough data
5.3
11
Not enough data
Agentic AI - Data Fabric
6.5
9
Not enough data
6.5
10
Not enough data
6.5
10
Not enough data
6.0
10
Not enough data
6.2
10
Not enough data
Data Management
Not enough data
9.0
177
|
Verified
Not enough data
8.9
177
|
Verified
Not enough data
8.8
172
|
Verified
Not enough data
8.7
175
|
Verified
Not enough data
8.7
165
|
Verified
Not enough data
9.0
167
|
Verified
Integration
Not enough data
8.8
163
|
Verified
Not enough data
8.8
163
|
Verified
Not enough data
9.1
171
|
Verified
Deployment
Not enough data
7.9
152
|
Verified
Not enough data
9.1
173
|
Verified
Performance
Not enough data
9.1
173
|
Verified
Security
Not enough data
8.8
164
|
Verified
Not enough data
8.9
165
|
Verified
Generative AI
Not enough data
8.5
75
Not enough data
8.4
74
Data Management
8.5
35
9.0
66
8.2
33
8.7
65
8.5
34
8.8
66
8.6
36
9.1
63
Agentic AI - DataOps Platforms
6.2
11
8.6
6
5.9
11
8.6
6
6.8
11
9.2
6
6.2
11
8.6
6
5.8
11
9.2
6
Analytics
7.5
34
8.8
64
7.3
34
8.4
63
Monitoring and Management
8.2
34
8.5
64
8.0
33
8.5
64
Cloud Deployment
8.7
32
9.1
60
8.4
31
9.0
61
Generative AI
6.7
21
8.9
35
6.7
22
8.9
35
Functionality
8.3
11
Not enough data
7.4
11
Not enough data
8.1
9
Not enough data
7.8
10
Not enough data
Management
7.7
10
Not enough data
7.6
9
Not enough data
8.2
10
Not enough data
7.3
10
Not enough data
7.5
10
Not enough data
Generative AI
5.7
9
Not enough data
Agentic AI - Data Observability
6.1
9
Not enough data
6.5
8
Not enough data
7.6
9
Not enough data
6.7
8
Not enough data
7.7
8
Not enough data
Database
Not enough data
8.7
218
Not enough data
8.9
224
Not enough data
9.3
225
Integrations
Not enough data
8.3
207
Not enough data
9.2
227
Platform
Not enough data
9.0
220
Not enough data
8.8
223
Not enough data
9.2
227
Processing
Not enough data
9.0
219
Not enough data
9.0
218
Data Transformation
Not enough data
8.8
219
Not enough data
9.0
226
Connectivity
Not enough data
8.7
202
Not enough data
9.2
225
Not enough data
9.0
217
Not enough data
9.2
225
Operations
Not enough data
8.4
223
Not enough data
8.8
218
Not enough data
8.6
207
Not enough data
8.6
205
Not enough data
9.3
220
Building Reports
Not enough data
8.9
136
Not enough data
8.5
136
Not enough data
7.6
121
Not enough data
8.3
135
Platform
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Astro by Astronomer and Databricks Data Intelligence Platform are categorized as DataOps Platforms
Unique Categories
Astro by Astronomer is categorized as Data Fabric, Workload Automation, Big Data Integration Platforms, and Data Observability
Databricks Data Intelligence Platform is categorized as MLOps Platforms, Data Governance, ETL Tools, Big Data Processing and Distribution, Big Data Analytics, Data Science and Machine Learning Platforms, Data Warehouse, and Analytics Platforms
Reviews
Reviewers' Company Size
Astro by Astronomer
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Databricks Data Intelligence Platform
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Information Technology and Services
15.8%
Financial Services
12.8%
Computer Software
11.3%
Online Media
6.0%
Retail
5.3%
Other
48.9%
Information Technology and Services
14.7%
Financial Services
11.4%
Computer Software
8.2%
Consulting
3.9%
Hospital & Health Care
3.8%
Other
58.1%
Alternatives
Discussions
Astro by Astronomer has no discussions with answers
What is Lakehouse in Databricks?
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3 Comments
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It supports large amount of data with capability to write code in SQL, Spark, Python and R.
In the backend, it stored the data in the parquet file which...Read more
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3 Comments
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Databricks' Unified Data Analytics Platform helps organizations accelerate innovation by unifying data science with engineering and business. With Databricks...Read more
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